A new framework, Arbor, they claim, preserves hypotheses, experiments, and lessons learned across long-running research tasks ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Prion and prion-like proteins are classically associated with protein misfolding, but amyloidogenic sequences can also participate in host defence. Here, using deep learning, we screened 19.3 million ...

Positron emission tomography (PET) brain imaging is a pivotal tool in neuroscience, enabling precise visualization and ...

Over the years, it has become clearer and clearer how the brain is a multiscale system that needs to be studied at different levels of organization as brain ...